摘要
在研究了Dempster-shafer证据理论及其算法的基础上,提出了一种基于多征兆信息融合理论的故障诊断方法。以转子故障为例,论述了该方法的实施过程。结果表明,多征兆信息的信息融合诊断方法具有良好的稳定性和容错性,提高了转子故障诊断的准确性和可靠性。
The conception incorporated multi-sensor data fusion with Dempster-shafer evidential theory was discussed in brief.Taking the rotor fusion as an example,the imple-menting process of this diagnosis method is presented in detail.The diagnosis result indicates that the multi-symptom information fusion has the stability and the ability of fault tolerance,and can improve the accuracy and reliability of fault diagnosis of diesel engine effectively.
出处
《煤矿机械》
北大核心
2008年第4期212-215,共4页
Coal Mine Machinery
基金
河北省教育厅2004年科研指导项目(Z2004467)
关键词
故障诊断
局域波时频谱
特征提取
二维分形维数
信息融合
D-S证据理论
fault diagnosis
local wave time-frequency spectra
feature extracting
twodimension fractal dim-ension
information fusion
D-S evide-ntial theory